During the AnalyticsWeek in Boston, March 24 – 28, 2014, Klurig Analytics, as a Silver sponsor, handled the social media and social media analytics for the event. This primarily involved keeping a live tweet stream including both text and pictures of speakers, moderators and panelists as well as handling the social media analytics. In two previous posts, we first discussed the event on a day per day basis, and secondly, we used twitter analysis and text mining on the Twitter feed of the event.

In this post, we will use Social Network Analysis to dive deep into the Twitter followers and friends of 17 of the speakers and panelist of the week-long event. The reason for 17 is simply that out of 30 people, only 17 supplied a Twitter handle. We also added the handles for some of the organizers including myself (@dagh) for a total of 22 Twitter handles. Below is the graph, and below the graph are the details.

During the AnalyticsWeek in Boston, March 24 – 28, 2014, Klurig Analytics, as a Silver sponsor, handled the social media and social media analytics for the event. This primarily involved keeping a live tweet stream including both text and pictures of speakers, moderators and panelists as well as handling the social media analytics. In a previous post, we gave a blow by blow description and presentation of the event. Klurig Analytics used the twitter handle @AnalyticsWeek.

In this post, we will walk through the AnalyticsWeek tweets based on the social media analytics. Klurig Analytics’ specialties are social network analytics and text mining. Combing those two disciplines with data Twitter data and we get a powerful set of knowledge about a community and an event. Read the rest of this entry »

During the week of March 24-28, 2014, Cognizeus arranged for Boston’s first weeklong data and analytics unconference. Each day held a different track starting with Monday and Big Data Analytics, followed by Tuesday with Health Informatics, Wednesday with Finance/Insurance, Marketing on Thursday followed by Workforce Analytics on Friday evening.

The keynote speakers for each day started with Paul Sonderegger from Oracle, Gil Alterovitz at Harvard med school, Christopher Lynch at Atlas Ventures, Judah Phillips at Smart Current, and finally Greta Roberts from Talent Analytics.

Klurig Analytics was a Silver sponsor of the event with our team responsible for social media and social media analytics. Using the handle @AnalyticsWeek and tweeting both text and images to the community, enabling non-attendees to follow along as well as leaving a historical trail of the event. For instance KDnugget used our tweets for a great post about Monday night where Gregory Piatetsky moderated a panel. Read the rest of this entry »

Klurig Analytics was interview by Dom Nicastro for a great article in CMS Wire whether marketers are remembering that it is not about social media and social media analytics. Marketers still need to interact face to face, over the phone, live with customers. On the other hand, you also need to monitor your social media networks, including your competition and your space. With other words, you need to take advantage of both the analog and the digital worlds. More great insight from Dom Nicastro in the article.

When I was the editor of a small daily newspaper in Massachusetts, we had monthly reader advisory board meetings.

A dozen or so readers — picked carefully by our team based on demographics and engagement with the newspaper — literally came to our office, and I greeted each one at the door. We had a targeted agenda, maintained a lively discussion and produced action items.

The result? Story ideas for my staff, rotating columns in our editorial section by advisory board members and some brand recognition in our four small communities.

Social media analytics techniques are constantly advancing. Looking back, we are going through different phases of social media analytics. Based on this concept, we have passed through the first and second phase of social media analytics and we are now entering the third phase. This post gives you a high-level picture of the three phases of social media analytics.

Phase 1 – Following. In the early days of social media analytics, the big thing was the number of followers or fans. If my social media following was larger than your social media following, then I win. Brands worked hard to generate the maximum number of fans, often by paying them with cash or other offers just to get them to sign up. So social media analytics was all about the numbers of fans and followers and we spent a lot of time trying to increase our following. Read the rest of this entry »